Asked by Morgan Freeman on Jul 02, 2024
Verified
If we reject the null hypothesis, we conclude that:
A) there is not enough statistical evidence to infer that the alternative hypothesis is true
B) there is enough statistical evidence to infer that the alternative hypothesis is true
C) there is not enough statistical evidence to infer that the null hypothesis is true
D) there is enough statistical evidence to infer that the null hypothesis is true
E) the test is statistically insignificant at whatever level of significance the test was conducted at
Null Hypothesis
The null hypothesis is a statement in statistics that suggests no significant effect or relationship exists in the population; it is the hypothesis that a statistical test aims to disprove.
Alternative Hypothesis
In hypothesis testing, the hypothesis that there is a significant difference between specified populations, which is considered if the null hypothesis is rejected.
Statistical Evidence
Data or information collected during an experimental or observational study that supports or refutes a statistical hypothesis.
- Understand the principle of hypothesis testing as a strategy for decision-making using sample data.
Verified Answer
GW
Gursimran WarainchJul 03, 2024
Final Answer :
B
Explanation :
Rejecting the null hypothesis means that there is enough statistical evidence to infer that the alternative hypothesis is true. This is the basis for accepting the alternative hypothesis.
Learning Objectives
- Understand the principle of hypothesis testing as a strategy for decision-making using sample data.